Run
3815826

Run 3815826

Task 2077 (Supervised Classification) baseball Uploaded 03-07-2017 by Miguel Cachada
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.FilteredClassifier_AttributeSelectedClassifier_REPTree(1)Weka implementation of FilteredClassifier
weka.REPTree(18)_M2
weka.REPTree(18)_V0.001
weka.REPTree(18)_N3
weka.REPTree(18)_S1
weka.REPTree(18)_L-1
weka.REPTree(18)_I0.0
weka.FilteredClassifier_AttributeSelectedClassifier_REPTree(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_REPTree(1)_Wweka.classifiers.meta.AttributeSelectedClassifier
weka.AttributeSelectedClassifier_REPTree(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_REPTree(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_REPTree(2)_Wweka.classifiers.trees.REPTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.8408
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9299
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5775
Cross-validation details (10-fold Crossvalidation)
KB relative information score
524.1233
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0638
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1164
Cross-validation details (10-fold Crossvalidation)
Number of instances
1340
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.9278
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9381
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5456
Cross-validation details (10-fold Crossvalidation)
Recall
0.9381
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5479
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2405
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.189
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.786
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1462.2918
UserCPU time millis
40
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
40
Cross-validation details (10-fold Crossvalidation)